Seven configurations can be applied to all available charts in Google Data Studio explained with pictures and how to use them. by 3pieanalytics.com | Deepak Kumar Estimated Reading Time: Comfortable Reading (2.5 WPS): 13 min Medium Reading (4.5 WPS): 7 min Fast Reading (5.5 WPS): 6 min
Learn how to easily transform your data into engaging, interactive visual reports! Data is no longer the sole domain of tech professionals and scientists. Whether in our personal, business, or community lives, data is rapidly increasing in both importance and sheer volume. The ability to visualize all kinds of data is now within reach for anyone with a computer and an internet connection. Google Data Studio, quickly becoming the most popular free tool in data visualization, offers users a flexible, powerful way to transform private and public data into interactive knowledge that can be easily shared and understood. Hands On With Google Data Studio teaches you how to visualize your data today and produce professional quality results quickly and easily. No previous experience is required to get started right away—all you need is this guide, a Gmail account, and a little curiosity to access and visualize data just like large businesses and organizations. Clear, step-by-step instructions help you identify business trends, turn budget data into a report, assess how your websites or business listings are performing, analyze public data, and much more. Practical examples and expert tips are found throughout the text to help you fully understand and apply your new knowledge to a wide array of real-world scenarios. This engaging, reader-friendly guide will enable you to: Use Google Data Studio to access various types of data, from your own personal data to public sources Build your first data set, navigate the Data Studio interface, customize reports, and share your work Learn the fundamentals of data visualization, personal data accessibility, and open data API's Harness the power of publicly accessible data services including Google’s recently released Data Set Search Add banners, logos, custom graphics, and color palettes Hands On With Google Data Studio: A Data Citizens Survival Guide is a must-have resource for anyone starting their data visualization journey, from individuals, consultants, and small business owners to large business and organization managers and leaders.
Apply data storytelling concepts and analytical thinking to create dashboards and reports in Looker Studio to aid data-driven decision making Key FeaturesGain a solid understanding of data visualization principles and learn to apply them effectivelyGet to grips with the concepts and features of Looker Studio to create powerful data storiesExplore the end-to-end process of building dashboards with the help of practical examplesBook Description Presenting data visually makes it easier for organizations and individuals to interpret and analyze information. Looker Studio is an easy-to-use, collaborative tool that enables you to transform your data into engaging visualizations. This allows you to build and share dashboards that help monitor key performance indicators, identify patterns, and generate insights to ultimately drive decisions and actions. Data Storytelling with Looker Studio begins by laying out the foundational design principles and guidelines that are essential to creating accurate, effective, and compelling data visualizations. Next, you'll delve into features and capabilities of Looker Studio – from basic to advanced – and explore their application with examples. The subsequent chapters walk you through building dashboards with a structured three-stage process called the 3D approach using real-world examples that'll help you understand the various design and implementation considerations. This approach involves determining the objectives and needs of the dashboard, designing its key components and layout, and developing each element of the dashboard. By the end of this book, you will have a solid understanding of the storytelling approach and be able to create data stories of your own using Looker Studio. What you will learnUnderstand what storytelling with data means, and explore its various formsDiscover the 3D approach to building dashboards – determine, design, and developTest common data visualization pitfalls and learn how to mitigate themGet up and running with Looker Studio and leverage it to explore and visualize dataExplore the advanced features of Looker Studio with examplesBecome well-versed in the step-by-step process of the 3D approach using practical examplesMeasure and monitor the usage patterns of your Looker Studio reportsWho this book is for If you are a beginner or an aspiring data analyst looking to understand the core concepts of data visualization and want to use Looker Studio for creating effective dashboards, this book is for you. No specific prior knowledge is needed to understand the concepts present in this book. Experienced data analysts and business intelligence developers will also find this book useful as a detailed guide to using Looker Studio as well as a refresher of core dashboarding concepts.
Google Cloud Certified Associate Cloud Engineer Exam Study Guide - NEW and Exclusive Edition Ace your Google Associate Cloud Engineer exam on your first attempt with the latest questions, detailed explanations, and references. Prepare for your Google Associate Cloud Engineer exam with a new and exclusive preparation book designed to test your knowledge and help you pass on your first try. Save both timeand money with this invaluable resource. If you're seeking to assess your knowledge and practice real exam questions, you've come to the right place. This new book includes the most recent questions, detailed and exclusive explanations, along with references. Our new book comprehensively covers all topics in the Google Associate Cloud Engineer exam. Designed to boost your confidence for the official exam, it allows you to test your knowledge and skills across all necessary areas. To succeed in passing Google Associate Cloud Engineer exam on your initial try, you must dedicate yourself to studying these Google Associate Cloud Engineer questions, which offer updated information on the entire exam syllabus. Length: 2 hours Exam format: 50-60 multiple choice and multiple select questions Prerequisites: None This book contains three full-length, exclusive, and new practice tests, along with detailed explanations for each question and official references. Welcome!
I wrote this book from the perspective of a programmer wanting to learn how to integrate reports within a .NET application. I've been working with Crystal Reports since Visual Basic 3 and it's always been difficult to find technical information on report writing. I spent a year and a half researching what .NET programmers need to successfully create, implement and deploy a Crystal Reports application. I even put the book on the internet for everyone to read for free all of last year. This generated an incredible number of emails from programmers telling me what they liked, disliked, and what was missing from the book. I learned that there are two distinct types of .NET programmers using Crystal Reports. The first type of programmer doesn't have much experience with Crystal Reports and wants a series of tutorials to help them build reports from scratch. For this programmer I wrote 13 chapters which teach you everything about adding reports to ASP.NET and Windows applications. It starts with the basics of building reports to adding charts, crosstab reports, sorting and grouping, subreports and using the formula editor with Basic syntax and Crystal syntax. The second type of programmer has been using Crystal Reports for years and is mostly concerned with how to do technical runtime customization of reports. For this programmer I researched and diagrammed the undocumented report object models. I included dozens of examples in both VB.NET and C# to show you how to modify reports, manipulate different data sources (XML, ADO.NET, ODBC, OLE DB, stored procedures with parameters), modify formulas and report parameters, and integrate .NET with the RAS and RDC. The dozens of emails I received when the book was online were instrumental for doing a major revision of many chapters before publishing the book in hardcopy format. Since releasing the book I continue to receive more emails from people. They regret that the free book isn't online anymore, but understand that it couldn't last forever and that the hardcopy version is even better. I hope you like it and that it helps you achieve your reporting goals. September 2004 Update: Due to high demand, I did a second printing of the book. I took advantage of this opportunity to go through the book and remove all grammatical errors. The content is the same, but the typos have been corrected.
The proven Study Guide that prepares you for this new Google Cloud exam The Google Cloud Certified Professional Data Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Professional Data Engineer certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Google Cloud Certified Professional Data Engineer Study Guide is your ace in the hole for deploying and managing analytics and machine learning applications. Build and operationalize storage systems, pipelines, and compute infrastructure Understand machine learning models and learn how to select pre-built models Monitor and troubleshoot machine learning models Design analytics and machine learning applications that are secure, scalable, and highly available. This exam guide is designed to help you develop an in depth understanding of data engineering and machine learning on Google Cloud Platform.
This end-to-end deep dive into Microsoft Visual Studio 2010 Professional will help working developers squeeze maximum productivity out of Visual Studio 2010’s extraordinarily rich toolbox, whether they are writing code for the Web, Windows, Silverlight, or Microsoft’s Azure cloud computing environment. The authors combine authoritative and detailed information about Microsoft’s latest IDE, with extensive insights and best practices drawn from decades of development experience. Developers will learn how to use Visual Studio 2010 Professional to take full advantage of the entire .NET platform, including Windows Presentation Foundation (WPF) for rich client development, Windows Communication Foundation (WCF) for building dynamic service-oriented solutions, and Windows Workflow Foundation (WF) for structured programming around business processes. The authors also present extensive new coverage of Microsoft’s powerful new tools for unit testing, application instrumentation, and code analysis. By focusing entirely on Visual Studio 2010 Professional, the authors have gone deeper into Microsoft’s core product than ever before. Throughout, their focus is relentlessly practical: how to apply Microsoft’s tools to build better software, faster. Detailed information on how to... Work with solutions, projects, browsers, explorers, editors, and designers Write better macros, add-ins, and wizards Save more time with Visual Studio 2010’s updated productivity tools Instrument, analyze, and test your software Refactor code for greater robustness, maintainability, and performance Share code with team members and the larger community Write powerful ASP.NET, ASP.NET MVC, and Silverlight web applications Implement robust service oriented architecture (SOA)–based applications Efficiently consume services with WCF Write advanced Windows applications with Windows Forms and WPF Construct data-centric applications with LINQ and Entity Framework Create and host workflow-based applications with WF Write applications for the Azure cloud Extend Visual Studio with the new Managed Extensibility Framework (MEF) and the Automation Object Model Build better object-oriented VB or C# software, and use new dynamic language features
"Internet of Things" explores the transformative impact of interconnected devices on everyday life and industry. Architectures, and technologies driving the IoT revolution, including sensors, networks, and data analytics. It examines real-world applications across sectors such as healthcare, agriculture, and smart cities, highlighting challenges like security and data privacy. Through practical case studies, the book illustrates how IoT enhances efficiency, drives innovation, and shapes a more connected future, making it essential reading for professionals and enthusiasts seeking to understand this dynamic field.
Microsoft Visual Studio LightSwitch 2011 is a rapid application deployment tool that lets power users and administrators build data-centric business applications for the desktop, cloud, and Web in just a few clicks, with no code required. But more advanced developers and business users will hunger for more: how do you design complex screens? How do you query data using LINQ and other syntax structures? How do you secure your application? Pro Visual Studio LightSwitch 2011 Development answers these questions and more as authors Tim Leung and Yann Duran—both awarded Microsoft 2011 Community Contributor Awards for their LightSwitch expertise—cover this breakthrough product and its operations and structure under the covers. For serious developers building, enhancing and deploying advanced business applications using LightSwitch, Pro Visual Studio LightSwitch 2011 Development is the guide for going beyond the "click-and-you're-done" interface, while still maintaining the elegance and convenience of rapid application development.
Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently. Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you’re not familiar with or prefer to focus on specific tasks, this reference is indispensable.